This metric shows the number of tickets that are currently put on hold classified by their type/category in your Freshdesk account.
With Databox you can track all your metrics from various data sources in one place.
Used to show comparisons between values.
Databox is a business analytics software that allows you to track and visualize your most important metrics from any data source in one centralized platform.
To track On Hold Tickets by Type using Databox, follow these steps:
Created Tickets by Source tracks the origin channel (email, phone, chat, social media) for new support tickets created in Freshdesk.
Number of tickets currently open categorized by the source of the customer inquiry. Helps identify areas for improvement in customer support.
The Unresolved Tickets by Priority metric shows the number of tickets that are currently open and have not been resolved, categorized by their priority level. It provides a quick overview of the support team's workload and helps identify areas that may require attention.
Pending Tickets by Type metric displays the number of open tickets organized by their types that are still awaiting resolution or response from agents.
The Resolved Tickets by Company metric in Freshdesk shows the number of tickets resolved by each company, providing a measure of customer satisfaction and support team performance for individual companies.
Closed Tickets by Tag is a report that shows the number of tickets that have been closed within a specific time period based on the tags assigned to them. It helps measure the efficiency of the support team in resolving issues related to different categories of the tickets.
The Closed Tickets by Type metric provides the number of tickets of each type that have been resolved or closed within a given time frame, allowing for easy monitoring of ticket trends and response times.
Contacts metric in Freshdesk tracks the number of unique individuals who have contacted your support team through various channels like email, phone, chat, or social media. It helps to measure the volume of customer interactions and improve support processes.